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First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study

Iacobucci, C. ; Bernfur, Katja LU ; Emanuelsson, Cecilia LU orcid ; Leitner, A. and Sinz, A. (2019) In Analytical Chemistry 91(11). p.6953-6961
Abstract
The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of... (More)
The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of XL-MS and to compare and evaluate existing cross-linking strategies. Our study therefore builds the framework for establishing best practice guidelines to conduct cross-linking experiments, perform data analysis, and define reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results. © 2019 American Chemical Society. (Less)
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author
; ; ; and
author collaboration
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Crosslinking, Data handling, Information analysis, Mass spectrometry, Molecular biology, Best practice guidelines, Chemical cross-linking, Community-based, Protein-protein interactions, Reporting formats, Status quo, Structural biology, Three dimensional structure modeling, Proteins
in
Analytical Chemistry
volume
91
issue
11
pages
9 pages
publisher
The American Chemical Society (ACS)
external identifiers
  • scopus:85066804197
  • pmid:31045356
ISSN
1520-6882
DOI
10.1021/acs.analchem.9b00658
language
English
LU publication?
yes
id
23c3c90f-54f2-4c24-9fd5-2003aee760be
date added to LUP
2019-07-24 08:58:45
date last changed
2022-04-26 03:15:35
@article{23c3c90f-54f2-4c24-9fd5-2003aee760be,
  abstract     = {{The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of XL-MS and to compare and evaluate existing cross-linking strategies. Our study therefore builds the framework for establishing best practice guidelines to conduct cross-linking experiments, perform data analysis, and define reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results. © 2019 American Chemical Society.}},
  author       = {{Iacobucci, C. and Bernfur, Katja and Emanuelsson, Cecilia and Leitner, A. and Sinz, A.}},
  issn         = {{1520-6882}},
  keywords     = {{Crosslinking; Data handling; Information analysis; Mass spectrometry; Molecular biology; Best practice guidelines; Chemical cross-linking; Community-based; Protein-protein interactions; Reporting formats; Status quo; Structural biology; Three dimensional structure modeling; Proteins}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{6953--6961}},
  publisher    = {{The American Chemical Society (ACS)}},
  series       = {{Analytical Chemistry}},
  title        = {{First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study}},
  url          = {{http://dx.doi.org/10.1021/acs.analchem.9b00658}},
  doi          = {{10.1021/acs.analchem.9b00658}},
  volume       = {{91}},
  year         = {{2019}},
}